[GitHub] haojin2 commented on a change in pull request #10150: [WIP] [DO NOT MERGE] Sparse operator broadcast_mul/div(csr, dense) = csr

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haojin2 commented on a change in pull request #10150: [WIP] [DO NOT MERGE] Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10150#discussion_r175340261
 
 

 ##########
 File path: src/operator/tensor/elemwise_binary_broadcast_op.h
 ##########
 @@ -185,6 +227,75 @@ void BinaryBroadcastCompute(const nnvm::NodeAttrs& attrs,
   }
 }
 
+template<typename xpu, typename OP>
+void BinaryBroadCastCsrDnsCsrImpl(const OpContext& ctx,
+                                  const NDArray& csr,
+                                  const NDArray& dns,
+                                  const OpReqType req,
+                                  const NDArray& output) {
+  using namespace mshadow;
+  using namespace mxnet_op;
+  using namespace csr;
+  CHECK_EQ(dns.shape().ndim(), 1) << "input dense should be a vector";
+  mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
+  bool col_vec = (dns.shape()[0] == csr.shape()[0])? true : false;
+  if (!csr.storage_initialized()) {
+    FillZerosCsrImpl(s, output);
+    return;
 
 Review comment:
   Sure, will do that.

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